AI will surpass peak human intelligence across ALL economically valuable domains by 2030, extending the sequential maturation roadmap beyond 'independent researcher' (2028) into full-domain superintelligence.
Predictor: Sam Altman
Prediction text
AI will surpass peak human intelligence across ALL economically valuable domains by 2030, extending the sequential maturation roadmap beyond 'independent researcher' (2028) into full-domain superintelligence. | Frontier model expert-level GDPval saturation
Key catalyst: Frontier model expert-level GDPval saturation
Watch events: Frontier model expert-parity benchmarks; GDPval saturation; OpenAI capability disclosures
Resolution evidence
Altman sequential roadmap internally consistent 2023-2026; GPT-6-class capabilities forecast for 2027-2028. Peak-human ASI by 2030 aligns with Aschenbrenner intelligence-explosion framing but aggressive vs Hassabis / Karpathy.
Predictor: Sam Altman
Calibration plot (stated vs observed)
Evidence about this node from Sam Altman is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).
Reference class
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 2026-09-01 → 2027-06-30pendingFrontier model crosses 80% on full GDPval gold set across all 9 sectorsHow: GPT-5.4 already 83% per Artificial Analysis; signal is sustained >80% expert-tie-or-win rate across nine sectors with public reproducibilitySource: https://artificialanalysis.ai/evaluations/gdpval-aaconf 75%
- 2027-01-01 → 2028-12-31pendingPublic AI agent autonomously runs an end-to-end biology, chemistry, or ML research project (no human checkpoint > 24h)How: Verifiable demonstration: AI agent runs >=14-day continuous research project producing publishable result, with logged human intervention < 24h granularitySource: Internal estimate based on Anthropic Claude agent / OpenAI Operator / Sakana AI Scientist trajectoriesconf 45%
- 2027-06-01 → 2029-06-30pendingFrontier-lab AI safety institute reports model exhibiting 'beyond peak human' performance in 3+ economically significant domainsHow: US AISI, UK AISI, or METR formal evaluation report identifies superhuman performance (top decile of human experts) in >=3 of {software engineering, mathematical research, drug discovery, financial analysis, legal analysis}Source: Internal estimate based on AISI evaluation cadenceconf 50%
- 2028-06-01 → 2030-06-30pendingIndustry expert blind evals show AI win rate >50% across all 44 GDPval occupationsHow: GDPval (or successor) public leaderboard: leading model achieves >50% strict 'win' (not tie) in blind expert review across all 44 occupationsSource: https://openai.com/index/gdpval/conf 40%
- 2029-01-01 → 2030-12-31pendingCascade: Sam Altman publicly declares OpenAI internal model is 'peak human' across all economically valuable domainsHow: Sam Altman public statement (blog, interview, S-1) explicitly claiming a deployed OpenAI model meets or exceeds peak-human bar across all economically valuable domains, paired with red-team evidenceSource: Internal estimate based on Altman's 2025-2026 'gentle singularity' blog cadenceconf 45%
- 2030-02-28pendingQ1 window check-in (25%)
- 2030-04-28pendingQ2 window check-in (50%)
- 2030-06-25pendingQ3 window check-in (75%)
No downstream cascades — this prediction is a leaf in the dependency graph.
What if this resolves?
Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"
Evidence chain
Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| killer | TK01 AGI Capability Plateau (2026-27 Training Stall) | 15.0% | 0.050 | 0.320 | -0.046 |
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Prerequisites (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| correlate | S_AGI_MID_2029 | AGI mid: Kurzweil 2029 path | agi_general_capability | — |
| correlate | S_AGI_FAST_2027 | AGI fast: drop-in remote worker by 2027-09 | agi_general_capability | — |
| correlate | S_NO_RECESSION_5Y | No NBER recession through 2031 | macro_recession | — |
| correlate | S_AGI_WINTER_2036PLUS | AGI delayed: capability plateau or AI winter | agi_general_capability | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
Dependents (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Linked documents (6)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.724 | manifold | Global AI Diffusion Rate ≥ [X]% by End of Q4 2026 | — | mentions | pending | 2026-05-14 |
| 0.704 | manifold | When will global population peak? | — | mentions | pending | 2026-05-06 |
| 0.675 | manifold | Will there be a publicly explicated Scientific Theory of Deep Learning before 2032? | 41% | mentions | pending | 2026-05-02 |
| 0.617 | arxiv | Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics | — | mentions | pending | 2026-05-04 |
| 0.586 | manifold | Will Poland surpass the UK in GDP per capita by PPP prior to 2035? | 42% | mentions | pending | 2026-04-26 |
| 0.566 | manifold | Will The Democrats Win Every Presidential Election from 2028 to 2040? | 11% | mentions | pending | 2026-05-29 |
Raw metadata
{
"nia": false,
"qty": "peak-human ASI",
"mode": "FORECAST",
"role": "Cited-CEO",
"context": "Extends Altman's prior intern-by-2026 (CMQ_001) / researcher-by-2028 (CMQ_002) sequential-maturation framing into ASI tier. Altman has also publicly distanced OpenAI from the term 'AGI' as 'not a super useful term' due to definitional ambiguity.",
"to_year": 2030,
"conv_cues": "CEO FIRST_PERSON; explicit year; deterministic scaling-law framing",
"direction": "HAPPEN",
"from_year": 2030,
"timeframe": "by 2030",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Frontier model crosses 80% on full GDPval gold set across all 9 sectors",
"source": "https://artificialanalysis.ai/evaluations/gdpval-aa",
"status": "pending",
"weight": 0.4,
"ordinal": -9,
"source_id": null,
"confidence": 0.75,
"source_url": "https://openai.com/index/gdpval/",
"expected_date": "2027-01-30",
"research_origin": "training",
"expected_date_range": {
"to": "2027-06-30",
"from": "2026-09-01"
},
"measurement_criterion": "GPT-5.4 already 83% per Artificial Analysis; signal is sustained >80% expert-tie-or-win rate across nine sectors with public reproducibility"
},
{
"kind": "llm_pre_event",
"label": "Public AI agent autonomously runs an end-to-end biology, chemistry, or ML research project (no human checkpoint > 24h)",
"source": "Internal estimate based on Anthropic Claude agent / OpenAI Operator / Sakana AI Scientist trajectories",
"status": "pending",
"weight": 0.4,
"ordinal": -8,
"source_id": null,
"confidence": 0.45,
"expected_date": "2028-01-01",
"research_origin": "training",
"expected_date_range": {
"to": "2028-12-31",
"from": "2027-01-01"
},
"measurement_criterion": "Verifiable demonstration: AI agent runs >=14-day continuous research project producing publishable result, with logged human intervention < 24h granularity"
},
{
"kind": "llm_pre_event",
"label": "Frontier-lab AI safety institute reports model exhibiting 'beyond peak human' performance in 3+ economically significant domains",
"source": "Internal estimate based on AISI evaluation cadence",
"status": "pending",
"weight": 0.4,
"ordinal": -7,
"source_id": null,
"confidence": 0.5,
"expected_date": "2028-06-15",
"research_origin": "training",
"expected_date_range": {
"to": "2029-06-30",
"from": "2027-06-01"
},
"measurement_criterion": "US AISI, UK AISI, or METR formal evaluation report identifies superhuman performance (top decile of human experts) in >=3 of {software engineering, mathematical research, drug discovery, financial analysis, legal analysis}"
},
{
"kind": "scenario_signal",
"label": "Scenario fires: AGI mid: Kurzweil 2029 path",
"status": "pending",
"weight": 0.7,
"ordinal": -6,
"source_id": "S_AGI_MID_2029",
"expected_date": "2029-03-31",
"observed_date": null
},
{
"kind": "llm_pre_event",
"label": "Industry expert blind evals show AI win rate >50% across all 44 GDPval occupations",
"source": "https://openai.com/index/gdpval/",
"status": "pending",
"weight": 0.4,
"ordinal": -5,
"source_id": null,
"confidence": 0.4,
"expected_date": "2029-06-15",
"research_origin": "training",
"expected_date_range": {
"to": "2030-06-30",
"from": "2028-06-01"
},
"measurement_criterion": "GDPval (or successor) public leaderboard: leading model achieves >50% strict 'win' (not tie) in blind expert review across all 44 occupations"
},
{
"kind": "llm_post_event",
"label": "Cascade: Sam Altman publicly declares OpenAI internal model is 'peak human' across all economically valuable domains",
... (truncated)